Estimation and simulation of fractional Ornstein-Uhlenbeck processes, using deep neural networks
There is now a great deal of interest in parameter estimation of Ornstein-Uhlenbeck processes in finance because of its modelling capability (see e.g. ). That is why we investigated prediction of the unknown parameters with neural networks in the hope that we will obtain more accurate estimators than the ones […]Read more
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